Dependency parsing with structure preserving embeddings

no code implementations • EACL 2021 • {\'A}kos K{\'a}d{\'a}r, Lan Xiao, Mete Kemertas, Federico Fancellu, Allan Jepson, Afsaneh Fazly

We do so by casting dependency parsing as a tree embedding problem where we incorporate geometric properties of dependency trees in the form of training losses within a graph-based parser.

Dependency Parsing Sentence

Subword Pooling Makes a Difference

1 code implementation • EACL 2021 • Judit {\'A}cs, {\'A}kos K{\'a}d{\'a}r, Andras Kornai

For POS tagging both of these strategies perform poorly and the best choice is to use a small LSTM over the subwords.

NER POS +1

Accurate polyglot semantic parsing with DAG grammars

no code implementations • Findings of the Association for Computational Linguistics 2020 • Federico Fancellu, {\'A}kos K{\'a}d{\'a}r, Ran Zhang, Afsaneh Fazly

We significantly improve upon this work, by proposing a simpler architecture as well as more efficient training and inference algorithms that can always guarantee the well-formedness of the generated graphs.

Graph Generation Semantic Parsing

DIDEC: The Dutch Image Description and Eye-tracking Corpus

no code implementations • COLING 2018 • Emiel van Miltenburg, {\'A}kos K{\'a}d{\'a}r, Ruud Koolen, Emiel Krahmer

We present a corpus of spoken Dutch image descriptions, paired with two sets of eye-tracking data: Free viewing, where participants look at images without any particular purpose, and Description viewing, where we track eye movements while participants produce spoken descriptions of the images they are viewing.

Specificity Task 2

Lingusitic Analysis of Multi-Modal Recurrent Neural Networks

no code implementations • WS 2015 • {\'A}kos K{\'a}d{\'a}r, Grzegorz Chrupa{\l}a, Afra Alishahi

Sentiment Analysis